September, 2016


Spatial Analysis

Estimates of per capita consumption in four African countries. Stanford researchers used machine learning to extract information from high-resolution satellite imagery to identify impoverished regions in Africa. (Image credit: Neal Jean et al.)Estimates of per capita consumption in four African countries. Stanford researchers used machine learning to extract information from high-resolution satellite imagery to identify impoverished regions in Africa. (Image credit: Neal Jean et al.)

Using Machine Learning to Map Poverty from Satellite Imagery

Satellite images are now being used to map poverty levels around the world using machine learning used to analyze specific poverty data using a convolutional neural network.

GIS Industry

Geospatial Redux: National Map Reading Week, Esri UC Call for Papers, Google Maps’s Blue Beam Measures Accuracy

This edition of Geospatial Redux takes a look at the first annual Map Reading Week hosted by the Ordnance Survey, Esri’s Call for Papers, and Google Maps’ new blue beam for directional accuracy.

GIS Industry

Line of sight analysis showing the obstructed (red) and visible (green) points across a terrain.

Using GIS to Map Telecommunications

Mapping telecommunication networks is of great importance to both urban and rural regions, particularly as telecommunication networks become even more vital for our daily lives. Terrain, vegetation, urban regions, and other potential interference are often assessed together and GIS tools such as ArcGIS have developed into an industry standard for forecasting cellular tower locations.

Spatial Analysis

From Davies et al., 2016: "the results show good qualitative agreement, with 26 of the 33 boroughs showing rioter percentages in the same or adjacent bands as the data. The remaining discrepancy may be accounted for by factors specific to the London disorder, such as communication between groups, other activity patterns occurring at the time, or social factors beyond the scope of this work. "From Davies et al., 2016: "the results show good qualitative agreement, with 26 of the 33 boroughs showing rioter percentages in the same or adjacent bands as the data. The remaining discrepancy may be accounted for by factors specific to the London disorder, such as communication between groups, other activity patterns occurring at the time, or social factors beyond the scope of this work. "

GIS and Anti-Crime Measures

This article takes a look at methods which demonstrate the wide and growing field of crime prevention utilizing spatial and GIS approaches.